Ramanathan Sowdhamini

5.8k total citations
251 papers, 4.1k citations indexed

About

Ramanathan Sowdhamini is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ramanathan Sowdhamini has authored 251 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Molecular Biology, 40 papers in Materials Chemistry and 27 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ramanathan Sowdhamini's work include Protein Structure and Dynamics (77 papers), Genomics and Phylogenetic Studies (46 papers) and Machine Learning in Bioinformatics (44 papers). Ramanathan Sowdhamini is often cited by papers focused on Protein Structure and Dynamics (77 papers), Genomics and Phylogenetic Studies (46 papers) and Machine Learning in Bioinformatics (44 papers). Ramanathan Sowdhamini collaborates with scholars based in India, United Kingdom and United States. Ramanathan Sowdhamini's co-authors include Narayanaswamy Srinivasan, C. Ramakrishnan, Lokesh P. Tripathi, Khader Shameer, Anshul Sukhwal, P. Balaram, Ganesan Pugalenthi, Raghu Metpally, Anirban Bhaduri and Bernard Offmann and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ramanathan Sowdhamini

243 papers receiving 4.0k citations

Peers

Ramanathan Sowdhamini

CMN

GENET

Konstantin Schütze Germany

Gilles Labesse France

Yoshitaka Moriwaki Japan

Francisco Melo Chile

Edouard de Castro Switzerland

Elias Eliopoulos Greece

Heath Ecroyd Australia

Damiano Piovesan Italy

Maofu Liao United States

Erich M. Schwarz United States

Konstantin Schütze Germany

Ramanathan Sowdhamini

3.5k ×1.2

446 ×0.8

536 ×1.0

227 ×0.5

CMN

590 ×1.5

GENET

Citations per year, relative to Ramanathan Sowdhamini Ramanathan Sowdhamini (= 1×) peers Konstantin Schütze

Countries citing papers authored by Ramanathan Sowdhamini

Since Specialization

Citations

This map shows the geographic impact of Ramanathan Sowdhamini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ramanathan Sowdhamini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramanathan Sowdhamini more than expected).

Fields of papers citing papers by Ramanathan Sowdhamini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramanathan Sowdhamini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ramanathan Sowdhamini. The network helps show where Ramanathan Sowdhamini may publish in the future.

Co-authorship network of co-authors of Ramanathan Sowdhamini

This figure shows the co-authorship network connecting the top 25 collaborators of Ramanathan Sowdhamini. A scholar is included among the top collaborators of Ramanathan Sowdhamini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ramanathan Sowdhamini. Ramanathan Sowdhamini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rajesh, R., et al.. (2025). PASS2: update of database of structure-based sequence alignments. Database. 2025.

Krishna, Sudhir, et al.. (2024). Computational Analysis of the Accumulation of Mutations in Therapeutically Important RNA Viral Proteins During Pandemics with Special Emphasis on SARS-CoV-2. Journal of Molecular Biology. 436(19). 168716–168716. 1 indexed citations

Anandan, A., Mahantesha B.N. Naika, Ramanathan Sowdhamini, et al.. (2024). Genome-wide association study reveals effect of nsSNPs on candidate genes in rice during iron deficiency. Functional & Integrative Genomics. 24(6). 198–198. 1 indexed citations

Nallusamy, Saranya, et al.. (2023). Deciphering Millet Diversity: Proteomic Clusters and Phylogenetic Insights. International Journal of Plant & Soil Science. 35(20). 125–133. 1 indexed citations

Sowdhamini, Ramanathan, et al.. (2023). Integrated approaches for the recognition of small molecule inhibitors for Toll-like receptor 4. Computational and Structural Biotechnology Journal. 21. 3680–3689. 4 indexed citations

Tandon, Himani, et al.. (2023). The alteration of structural network upon transient association between proteins studied using graph theory. Proteins Structure Function and Bioinformatics. 93(1). 217–225. 3 indexed citations

Mondal, Suvendu, et al.. (2022). Development of candidate gene-based markers and map-based cloning of a dominant rust resistance gene in cultivated groundnut (Arachis hypogaea L.). Gene. 827. 146474–146474. 2 indexed citations

Ahmed, Asad, et al.. (2021). DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity. Bioinformatics and Biology Insights. 15. 739595612–739595612. 37 indexed citations

Singh, Randhir, et al.. (2020). Molecular and functional characterization of buffalo nasal epithelial odorant binding proteins and their structural insights by in silico and biochemical approaches . Journal of Biomolecular Structure and Dynamics. 40(9). 4164–4187. 6 indexed citations

10.

Cannone, Giuseppe, et al.. (2019). Molecular basis for metabolite channeling in a ring opening enzyme of the phenylacetate degradation pathway. Nature Communications. 10(1). 4127–4127. 18 indexed citations

11.

Sowdhamini, Ramanathan, et al.. (2018). Genome-wide survey of remote homologues for protein domain superfamilies of known structure reveals unequal distribution across structural classes. Molecular Omics. 14(4). 266–280. 2 indexed citations

12.

Shameer, Khader, et al.. (2018). Decoding systems biology of plant stress for sustainable agriculture development and optimized food production. Progress in Biophysics and Molecular Biology. 145. 19–39. 15 indexed citations

13.

Ghosh, Pritha & Ramanathan Sowdhamini. (2015). Genome-wide survey of putative RNA-binding proteins encoded in the human proteome. Molecular BioSystems. 12(2). 532–540. 17 indexed citations

14.

Malhotra, Sony & Ramanathan Sowdhamini. (2015). Collation and analyses of DNA-binding protein domain families from sequence and structural databanks. Molecular BioSystems. 11(4). 1110–1118. 4 indexed citations

15.

Sukhwal, Anshul & Ramanathan Sowdhamini. (2013). Oligomerisation status and evolutionary conservation of interfaces of protein structural domain superfamilies. Molecular BioSystems. 9(7). 1652–1661. 66 indexed citations

16.

Naika, Mahantesha B.N., Khader Shameer, & Ramanathan Sowdhamini. (2013). Comparative analyses of stress-responsive genes in Arabidopsis thaliana : insight from genomic data mining, functional enrichment, pathway analysis and phenomics. Molecular BioSystems. 9(7). 1888–1908. 23 indexed citations

17.

Sandhya, Sankaran, et al.. (2012). Cascaded walks in protein sequence space: use of artificial sequences in remote homology detection between natural proteins. Molecular BioSystems. 8(8). 2076–2084. 7 indexed citations

18.

Sankar, Kannan, et al.. (2011). TM-MOTIF: an alignment viewer to annotate predicted transmembrane helices and conserved motifs in aligned set of sequences. Bioinformation. 7(5). 214–221. 5 indexed citations

19.

Bhattacharya, Aditi, et al.. (2009). Molecular modeling and docking studies of human 5-hydroxytryptamine 2A (5-HT2A) receptor for the identification of hotspots for ligand binding. Molecular BioSystems. 5(12). 1877–1888. 26 indexed citations

20.

Srinivasan, Narayanaswamy, et al.. (1991). Analysis of short loops connecting secondary structural elements in proteins. Advanced Emergency Nursing Journal. 40(4). 324–327. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact